Instructions

• Save in desired location:
  1. 'dataviz_generator' folder OR 'dataviz_generator.py' python file only.
  2. user .csv file as input.
• Open new terminal at desired folder location and enter command: 'python dataviz_generator.py'
• Inputs:
  1. '.csv' filepath/name.
  2. boxplot (or lineplot) - input 'b' or 'l'.
  3. yes (or no) outliers - input 'y' or 'n'.
  4. (optional, if 'n' for input 3) maximum data point to include (values > input are excluded from data).
• Outputs .png file:
  1. plot with outliers; file saved and formated as {ddmmyyyy figure} with outliers.png, where {ddmmyyyy figure} represents final day of reported treatment and figure represents user specified plot.
  2. plot without outliers; {ddMmmYYYY figure} without outliers > {x}.png, where {x} represents maximum data point.

Notes:

• Jupyter Notebook (boxplot_generator.ipynb) file contains example usage.
• Example comma-separated value (measurements.csv) file illustrates key-sensitive column names: date, type, cage_num, width_mm, length_mm, area_mm^2, and note.